rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: PID Trajectory Tracking Control for Mechanical Systems
  name:
    name part: Choi, Youngjin.
    role:
      role term: creator
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: Chung, Wan Kyun.
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2004
    edition: 1st ed. 2004.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XVI, 112 p. online resource.
  abstract: Though PID control has a long history as much as its life force since Ziegler and Nichols published the empirical tuning rules in 1942, surprisingly, it has never been changed in the structure itself. The strength of PID control lies in the simplicity, lucid meaning, and clear e?ect. Though it must be a widely - cepted controller for mechanical control systems, it is still short of theoretical bases,e.g., optimality, performance tuning rules, automatic performance t- ing method, and output feedback PID control have not been clearly presented formechanicalcontrolsystems.Thesesubjectswillbethoroughlydiscussedin this book. There are many books of PID controller for the purpose of process control, but it is hard to ?nd a book on the characteristics of PID control for mechanical systems. In the ?rst place, when nonlinear optimal control theory is applied to mechanical systems, a class of Hamilton-Jacobi (HJ) equations is derived as a result of optimization. There are two methods to solve a class of HJ eq- tions: a direct method using an approximation and inverse method ?nding the performance index from a class of HJ equations. Also, there are two control methods according to the objective: the set-point regulation control and t- jectory tracking control. The trajectory tracking control is basically di?erent from set-point regulation one in that the desired con?guration, velocity and acceleration pro?les according to time progress are added to the motion of mechanical system. This book is focusing on an inverse optimization method and the trajectory tracking control system.
  table of contents: 1 Introduction -- 2 Robust and Optimal Control for Mechanical Systems -- 3 Optimality of PID Control -- 4 Performance Limitation and Tuning -- 5 Automatic Performance Tuning -- 6 Output Feedback PID Control -- 7 Concluding Remarks.
  note: by Youngjin Choi, Wan Kyun Chung.
  subject:
    topic: Control engineering
  subject:
    topic: Robotics
  subject:
    topic: Mechatronics
  subject:
    topic: System theory
  subject:
    topic: Mechanics
  subject:
    topic: Mechanics, Applied
  subject:
    topic: Vibration
  subject:
    topic: Dynamical systems
  subject:
    topic: Dynamics
  subject:
    topic: Industrial engineering
  subject:
    topic: Production engineering
  subject:
    topic: Control, Robotics, Mechatronics
  subject:
    topic: Systems Theory, Control
  subject:
    topic: Theoretical and Applied Mechanics
  subject:
    topic: Vibration, Dynamical Systems, Control
  subject:
    topic: Industrial and Production Engineering
  classification: TJ210.2-211.495
  classification: TJ163.12
  classification: 629.8
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Lecture Notes in Control and Information Sciences, 298
  identifier: 9783540400417
  identifier: https://doi.org/10.1007/978-3-540-40041-7
  record info:
    record creation date: 130620
    record change date: 20191024041935.0
    record identifier: 978-3-540-40041-7